Graph Embeddings Courses and Certifications

Discriminative Prototype Selection for Graph Embedding

Explore graph embedding techniques, focusing on discriminative prototype selection methods for improved graph representation and matching in various applications.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Biais et discrimination en IA

Explorez les aspects techniques et sociaux des biais, de la discrimination et de l'équité dans l'IA, en mettant l'accent sur les impacts liés au sexe, à la race et à la situation socio-économique dans les modèles prédictifs.

• edX
• 5 weeks, 19-21 hours a week
• On-Demand
• Free Online Course (Audit)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

Explore advanced techniques for detecting ideological leanings in social media through multi-task learning and graph embedding methods focused on Twitter data analysis.

• XuetangX
• On-Demand
• Free Online Course

Databricks

Building a Knowledge Graph with Spark and NLP for Novel Drug Recommendations

Explore drug discovery using knowledge graphs, NLP, and Spark. Learn techniques for efficient data processing, entity recognition, and relationship extraction to enhance pharmaceutical research.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Bite-Sized Neo4j for Data Scientists

Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Open Data Science

Graph Embeddings - Ways Your AI Can Learn From Your Connected Data - Nicolas Rouyer

Explore five ways AI can leverage graph embeddings to extract insights from connected data, enhancing machine learning algorithms and unlocking hidden patterns in complex relationships.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Angel 3.0 - A Full Stack Machine Learning Platform

Explore Angel 3.0, a comprehensive machine learning platform featuring auto feature engineering, hyperparameter tuning, model serving, and PyTorch integration for enhanced graph embedding and GNN algorithms.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Devoxx

Leveraging Graphs for AI

Explore graph theory's role in AI, from data structures to machine learning, with practical examples and applications in analytics, algorithms, and neural networks.

• YouTube
• 57 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Task-Driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces

Explore task-driven network discovery using deep reinforcement learning on embedded spaces. Learn about improving network observability and optimizing data collection for accurate analysis.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.

• YouTube
• 50 minutes
• On-Demand
• Free Video

IEEE

Inapproximability of Clustering in Lp Metrics

Explores computational complexity of clustering in Lp metrics, discussing approximation algorithms, hardness of approximation, and key concepts like Johnson Coverage Hypothesis.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Applied Algebraic Topology Network

Topological Node2vec: Improving Graph Embeddings with Persistent Homology

Exploring persistent homology to enhance graph embeddings, combining topology with machine learning for improved data analysis and representation in complex networks.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Scalable Graph Machine Learning - Accelerating GNN Computations

Explore scalable graph machine learning techniques, focusing on Graph Neural Networks. Learn about efficient methods for training and inference, including graph sampling and partitioning for large-scale graphs.

• YouTube
• 1 hour
• On-Demand
• Free Video

Fields Institute

A Short Journey Through Graph Embedding Techniques - Part 2

Explore advanced graph embedding techniques, their applications, and recent developments in network analysis and machine learning.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Fields Institute

A Short Journey Through Graph Embedding Techniques - Part 1

Explore graph embedding techniques with Mario Rosario Guarracino, covering fundamental concepts and applications in complex network analysis.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video